| Autor: |
Reddy, G. Tejaswini, Murthy, B. Ramana, Umar, Sk. Nafeez, Prakash, K. Kiran |
| Předmět: |
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| Zdroj: |
International Journal of Agricultural & Statistical Sciences; 2022 Supplement, Vol. 18, p1695-1701, 7p, 1 Chart |
| Abstrakt: |
The purpose of this study was to examine and forecast the relation between tomato arrivals and prices between two main markets in the Kurnool district of Andhra Pradesh (C Camp and Nandyal). ARIMA models were used to forecast daily data collected from chosen markets over a three-year period (January 2019 to December 2021). At the 1% level of significance, there was a significant negative correlation between tomato arrivals and prices in C Camp and Nandyal markets. The best models for forecasting tomato arrivals and prices in the C Camp market were ARIMA (3, 1, 0) and (1, 1, 0). In the Nandyal market, ARIMA (1, 1, 3) and (1, 1, 4) were the best fit models for forecasting tomato arrivals and prices. Tomatoes arrivals have increasing trend over the next 6 days while the forecasted price is not showing much variation. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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